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Profisee vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 18, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Profisee
Ranking in Cloud Master Data Management (MDM)
7th
Average Rating
8.0
Reviews Sentiment
8.4
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Cloud Master Data Management (MDM)
4th
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
53
Ranking in other categories
Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (9th)
 

Mindshare comparison

As of December 2025, in the Cloud Master Data Management (MDM) category, the mindshare of Profisee is 6.5%, down from 9.6% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.3%, up from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Market Share Distribution
ProductMarket Share (%)
Qlik Talend Cloud7.3%
Profisee6.5%
Other86.2%
Cloud Master Data Management (MDM)
 

Featured Reviews

reviewer2584719 - PeerSpot reviewer
MDM Lead at a financial services firm with 5,001-10,000 employees
Unlocks efficient data mastering with custom interfaces and upcoming integrations
We use Profisee for mastering data between multiple systems like ERP and CRM within our company The product helps us by allowing us to bring data in from any system that we need, master it, and deliver clean records for data and analytics. Profisee's ability to master data using the Goldstein…
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Profisee's customer service is very responsive, and they have a comprehensive training academy, Profisee Academy, that helps guide the implementation process."
"The most valuable features for ensuring data accuracy and quality are mappings and creating business rules."
"The product is able to utilize the SQL server toolkit and it has tight integration with the SQL server."
"The process of categorizing data, creating glossaries, and generating metadata is streamlined and less time-consuming."
"We really like the matching and merging features."
"The most valuable feature is the data loading and scripting language"
"Talend's most valuable feature is its ability to generate code and packages efficiently."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."
"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"The basic tools are easy to pick up and understand."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
 

Cons

"The way training is laid out in their Profisee University, makes it really, really hard to find what you need fast."
"A more convenient approach would involve integrating all the pre-existing elements into Profisee itself."
"Some security complexities might add time to the setup."
"When we updated to version 7.1, there were some workflow issues."
"Profisee could improve in providing clearer data lineage information."
"If I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."
"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"The biggest challenge with Talend was its performance."
"The stability for Talend Data Quality can be rated around an 8; it is quite stable."
"They lack in memory capacity."
"The documentation from version to version could be more accurate."
"There are too many functions which could be streamlined."
 

Pricing and Cost Advice

"The pricing is moderate, falling in the middle range—not excessively low nor overly expensive."
"We didn't come across any additional licensing fees."
"License renewal is on a yearly basis."
"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
"I have been using the open-source version."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"It's a subscription-based platform, we renew it every year."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
11%
Computer Software Company
9%
Comms Service Provider
8%
Financial Services Firm
13%
Computer Software Company
11%
Comms Service Provider
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise18
 

Questions from the Community

What do you like most about Profisee?
The most valuable features for ensuring data accuracy and quality are mappings and creating business rules.
What needs improvement with Profisee?
Profisee is making improvements for the year 2024, including integrating directly with other solutions.
What do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
 

Also Known As

No data available
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

Sample Customers

NASDAQ, Rockwell Automation, ITT Industries, EY (Ernst & Young), Domino's, L3 Communications, Anheuser Busch, MD Anderson Cancer Center, Ameriprise Financial, GSO Capital Partners
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Profisee vs. Qlik Talend Cloud and other solutions. Updated: December 2025.
879,310 professionals have used our research since 2012.